tarekziade HF Staff
Publish MIC usage, slim fixture and reviewed Transformers expectations
de4a0b8 verified | { | |
| "mic": "0.3", | |
| "name": "SwitchTransformers text-to-text generation", | |
| "usage": "AutoTokenizer + AutoModelForSeq2SeqLM.generate, batched, with a seeded training step", | |
| "architecture": "SwitchTransformersForConditionalGeneration", | |
| "checkpoints": { | |
| "google/switch-base-8": { | |
| "fixture": "huggingface-mic/switch-base-8-mic" | |
| } | |
| }, | |
| "fixtures": { | |
| "huggingface-mic/switch-base-8-mic": { | |
| "built_from": "google/switch-base-8", | |
| "covers": [ | |
| "google/switch-base-8" | |
| ], | |
| "build": { | |
| "seed": 17, | |
| "model_class": "SwitchTransformersForConditionalGeneration" | |
| } | |
| } | |
| }, | |
| "integrations": { | |
| "transformers": { | |
| "entry_point": "integrations/transformers/usage.md", | |
| "format": "runnable-markdown", | |
| "requires": [ | |
| "transformers>=5", | |
| "torch", | |
| "sentencepiece" | |
| ], | |
| "targets": [ | |
| "fixtures", | |
| "checkpoints" | |
| ], | |
| "variants": { | |
| "default": {}, | |
| "eager": { | |
| "attn_implementation": "eager" | |
| }, | |
| "bfloat16": { | |
| "dtype": "bfloat16" | |
| } | |
| }, | |
| "variants_note": "The checkpoint stores bfloat16 weights; the default recipe loads them as-is. The eager variant forces the eager attention path. The bfloat16 variant pins bfloat16 explicitly.", | |
| "variants_override": { | |
| "default": { | |
| "dtype": "float32" | |
| }, | |
| "eager": { | |
| "attn_implementation": "eager", | |
| "dtype": "float32" | |
| }, | |
| "bfloat16": { | |
| "dtype": "bfloat16" | |
| } | |
| }, | |
| "training": true, | |
| "resources": { | |
| "fixture": { | |
| "download_mb": 200 | |
| }, | |
| "google/switch-base-8": { | |
| "memory_gb": 8, | |
| "download_mb": 2000 | |
| } | |
| } | |
| } | |
| }, | |
| "outputs": { | |
| "runtime": { | |
| "compare": "exact" | |
| }, | |
| "generated_tokens": { | |
| "compare": "exact" | |
| }, | |
| "generated_text": { | |
| "compare": "exact" | |
| }, | |
| "label_logprobs": { | |
| "compare": "allclose", | |
| "atol": 0.0001, | |
| "rtol": 0.0001 | |
| }, | |
| "decoded_roundtrip": { | |
| "compare": "exact" | |
| }, | |
| "training.loss": { | |
| "compare": "allclose", | |
| "atol": 0.0001, | |
| "rtol": 0.0001 | |
| }, | |
| "training.gradients": { | |
| "compare": "all_true" | |
| }, | |
| "training.updated": { | |
| "compare": "true" | |
| } | |
| } | |
| } | |